Bizi Digital

Full-stack Engineer

• Lead the development of new and existing software applications, identifying areas for enhancement and innovation to meet evolving business needs.
• Monitor, identify, and resolve highly complex software issues, ensuring continuous operational excellence.
• Collaborate with Software Architects and executive leadership to establish and uphold coding standards, methodologies, and software development life cycle (SDLC) best practices.
• Oversee the design and implementation of software solutions, including feasibility studies, and guide testing strategies and validation processes.
• Execute complex software testing, analyze results, and ensure applications meet specified performance criteria and user requirements.
• Contribute significantly to the strategic planning of technology solutions, ensuring alignment with business objectives.
• Provide expert-level troubleshooting, diagnostics, and resolution of technical problems affecting multiple integrated systems.
• Deliver large-scale projects and initiatives within structured program management frameworks.
• Develop and manage project timelines, ensuring effective resource allocation and timely completion of deliverables.
• Create, maintain, and optimize database structures, performing advanced data modeling and performance tuning.
• Develop comprehensive technical documentation and provide training to stakeholders to enhance software utilization and effectiveness.
• Stay abreast of new technologies and industry trends, driving adoption where beneficial to organizational goals.
• Regularly evaluate the financial implications and return on investment (ROI) for major IT initiatives.
• Mentor, coach, and supervise junior developers, facilitating professional growth through training, mentoring, and performance feedback.
• Conduct thorough project retrospectives, implement lessons learned, and continually refine software development processes.
• Provide detailed project updates, reports, and documentation as required.
• Perform other duties as assigned.

Principal Software Engineer – App Dev Digital Commerce

Analytics Engineer

• Help define and evolve enterprise data engineering blueprints, including data mesh, medallion architecture, and hybrid cloud data platforms.
• Set strategic direction for data platforms, tools, and services (e.g., Snowflake, GCP BigQuery, dbt, Kafka, Airflow/Prefect) in alignment with future-state architecture and business priorities.
• Architect and design highly scalable, resilient, cost optimal and secure data platforms.
• Lead the design and implementation of next-generation data platforms, ensuring fault tolerance, high availability, and optimal performance for petabyte-scale data.
• Establish and enforce organization-wide best practices for data pipeline development, CI/CD for data workflows, automated deployment playbooks, and robust rollback strategies.
• Lead technology evaluation and adoption, proactively researching, evaluating, and championing the integration of cutting-edge data technologies, frameworks, and methodologies.
• Define and scale enterprise knowledge management frameworks that ensure consistent documentation, discoverability, and reusability of data assets across domains.
• Establish and govern standards for metadata management, data lineage, architectural diagrams, and runbooks.
• Lead the design of federated governance models that empower domain-aligned teams to operate autonomously while conforming to centralized policies, frameworks and playbooks.
• Collaborate with data governance, compliance, and security teams to operationalize policy-as-code frameworks for data retention, access control, and PII handling.
• Advocate for and enable self-service knowledge discovery through tightly integrated cataloging tools (e.g., Alation, Collibra) and automated documentation generators.
• Ensure robust documentation and versioning standards are embedded in CI/CD workflows for pipeline code, transformation logic, and schema changes.
• Architect implementation of scalable, automated data quality frameworks that evaluate data at rest and in motion spanning completeness, timeliness, consistency, accuracy, and integrity.
• Lead integration of data quality rules, metrics, and health indicators directly into orchestration layers (e.g., Prefect, Airflow) and transformation frameworks (e.g., dbt).
• Evangelize a culture of data trust and transparency by integrating data quality insights into user-facing dashboards, alerts, and product health reports.
• Identify and promote enterprise-wide data opportunities through thought leadership, white papers, reference architectures, and innovation labs.
• Act as technical advisor to senior executives on data modernization, AI readiness, and platform consolidation strategies.
• Enable intelligent operations and decisioning by translating unstructured business logic into structured knowledge artifacts, such as KPIs, rulesets, feature stores, and semantic models used by dashboards or AI agents.
• Serve as a strategic translator between complex business challenges and modern data architecture by leading domain-level and cross-domain data product strategy engagements.
• Lead the design of enterprise-grade data products that align with OKRs, business transformation goals, and operational needs ensuring value realization across functional areas like supply chain, marketing, store ops, or customer satisfaction.
• Architect and operationalize a unified enterprise-wide semantic layer, metrics store, and business logic abstraction that powers dashboards, self-service analytics, and machine-readable APIs.
• Lead initiatives to unify KPIs, standardize metric definitions, and streamline business logic through reusable models.
• Design composable data assets and feature stores that enable real-time and offline access patterns for ML models, AI agents, and decision orchestration systems.
• Lead readiness initiatives for integrating data systems with LLM-powered agents and copilots, ensuring robust grounding data, latency optimization, and lineage tracking.
• Drive innovation in analytics automation, including anomaly detection, agent-triggered insights.
• Serve as champion for complex analytics transformations, ensuring technical feasibility, business value realization, and adoption.
• Drive culture change around data stewardship and accountability by embedding governance responsibilities into platform tooling and engineering workflows.
• Lead internal communities of practice, workshops, and code reviews to disseminate modern data practices.
• Mentor senior engineers across data and analytics engineering, elevating technical acumen and architectural judgment.
• Influence hiring and team design decisions, supporting the scaling of high-performing, and collaborative data teams.
• Represent the organization in external forums (conferences, meetups, technical alliances) and establish credibility as an industry thought leader.

Principal Data and Analytics Engineer

• Provides technical leadership and direction for enterprise search initiatives, ensuring scalable and reliable architecture
• Serves as a key contributor to architectural review boards, guiding technical decisions on search platforms and integrations
• Designs and implements search solutions with a focus on relevancy, ranking, and performance optimization
• Leads evaluation and adoption of search technologies, including SOLR, Elasticsearch, and OpenSearch
• Partners with product, engineering, and business stakeholders to translate requirements into precise, actionable technical designs
• Ensures alignment of search architecture with broader enterprise cloud strategies on Google Cloud Platform (GCP)
• Mentors engineering teams on search best practices, Java development, and distributed data management
• Establishes standards for indexing, query optimization, and data pipelines to support predictive and personalized search experiences
• Conducts deep technical reviews to ensure precision, reliability, and scalability in search-related implementations
• Champions observability, performance monitoring, and continuous improvement in search services.

Senior Principal Software Engineer – Search

Systems Engineer

• A Principal Systems Engineer will utilize expert-level infrastructure, cloud architecture, and systems design knowledge to lead the evolution of cloud-native platforms and enterprise infrastructure.
• This position demands a high degree of technical leadership, operational foresight, and systems thinking.
• The ideal candidate has deep hands-on experience with Google Cloud Platform (GCP), automation frameworks, and highly available distributed systems.
• Maintain expert-level knowledge of emerging GCP services, infrastructure design patterns, automation tooling, and site reliability engineering practices.
• Provide architectural guidance and technical mentorship to engineers across infrastructure, DevOps, and platform teams.
• Collaborate with Cloud Architects and Engineering Leadership to define standards for GCP resource hierarchy, networking, security, and cost optimization.
• Lead the design, deployment, and automation of scalable, resilient infrastructure on GCP, using tools such as Terraform, Kubernetes (GKE), and Cloud Build.
• Guide enterprise-wide initiatives focused on infrastructure modernization, cloud migration, and zero-downtime operations.
• Implement best-in-class monitoring, logging, and observability practices using Stackdriver, Prometheus, and third-party integrations.
• Conduct design reviews, evaluate new services, and ensure infrastructure solutions align with performance, security, and compliance requirements.
• Lead incident response and root cause analysis for infrastructure-impacting events, driving long-term stability improvements.
• Define and enforce GCP IAM policies, network segmentation, org policies, and workload identity federation strategies.
• Work closely with application and data engineering teams to optimize cloud deployments, container orchestration, and API gateways.
• Own the infrastructure-as-code lifecycle, enabling consistent, version-controlled deployments across environments.
• Contribute to technical roadmaps, budgeting forecasts, and capacity planning processes.
• Document architectural decisions, cloud resource inventories, and runbooks for critical platform services.
• Champion cloud-native best practices, DevSecOps principles, and efficient operational processes.

Principal Software Engineer – App Dev Digital Commerce

Principal Data and Analytics Engineer

Senior Principal Software Engineer – Search

Principal System Engineer (GCP, Cloud)